NERC Data Catalogue Service
Soil moisture product merged from satellite and modelled data for Great Britain, April 2015-December 2017
A soil moisture product for Great Britain at two spatial resolutions: 12.5km and 1km, based on triple collocation error estimation and a least-squares merging scheme. Two remote sensing soil moisture datasets (one passive microwave dataset: SMAP, and one active microwave dataset: ASCAT) and a modelled soil moisture dataset (from JULES-CHESS land surface model) were combined to produce this dataset.
The dataset covers the period going from 1st April 2015 to 31st December 2017, at a daily timestep, and is available at two spatial resolutions: 12.5km; and 1km, which has been obtained after resampling all three underlying datasets to a 1km resolution. Full details about this dataset can be found at https://doi.org/10.5285/26b8ddd4-09fd-4e40-a556-6a8f3a7481ea
Default
Identification info
- Metadata Language
- English (en)
- Character set
- utf8
- Dataset Reference Date ()
- 2022-05-11
- Identifier
- doi: / 10.5285/26b8ddd4-09fd-4e40-a556-6a8f3a7481ea
- Other citation details
- Tanguy, M., Peng, J., Robinson, E., Pinnington, E., Evans, J., Ellis, R., Cooper, E., Hannaford, J., Blyth, E., Dadson, S. (2022). Soil moisture product merged from satellite and modelled data for Great Britain, April 2015-December 2017. NERC EDS Environmental Information Data Centre 10.5285/26b8ddd4-09fd-4e40-a556-6a8f3a7481ea
- GEMET - INSPIRE themes, version 1.0 ()
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- Meteorological geographical features
- Keywords
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- Soil
- Soil moisture
- remote sensing
- land surface model
- Triple Collocation Analysis
- ASCAT
- SMAP
- Great Britain
- Limitations on Public Access
- otherRestrictions
- Other constraints
- no limitations
- Use constraints
- otherRestrictions
- Use constraints
- otherRestrictions
- Other constraints
- Users must acknowledge the following data source: O'Neill, P. E., S. Chan, E. G. Njoku, T. Jackson, R. Bindlish, and J. Chaubell. 2019. SMAP Enhanced L3 Radiometer Global Daily 9 km EASE-Grid Soil Moisture, Version 3. Boulder, Colorado USA. NASA National Snow and Ice Data Center Distributed Active Archive Center. https://doi.org/10.5067/T90W6VRLCBHI. [Accessed: March 2021].
- Use constraints
- otherRestrictions
- Other constraints
- Users must acknowledge the following data source: H SAF (2020): ASCAT Surface Soil Moisture Climate Data Record v5 12.5 km sampling - Metop, EUMETSAT SAF on Support to Operational Hydrology and Water Management, http://doi.org/10.15770/EUM_SAF_H_0006
- Use constraints
- otherRestrictions
- Other constraints
- If you reuse this data, you should cite: Tanguy, M., Peng, J., Robinson, E., Pinnington, E., Evans, J., Ellis, R., Cooper, E., Hannaford, J., Blyth, E., Dadson, S. (2022). Soil moisture product merged from satellite and modelled data for Great Britain, April 2015-December 2017. NERC EDS Environmental Information Data Centre https://doi.org/10.5285/26b8ddd4-09fd-4e40-a556-6a8f3a7481ea
- Spatial representation type
- grid
- Distance
- 12500 urn:ogc:def:uom:EPSG::9001
- Distance
- 1000 urn:ogc:def:uom:EPSG::9001
- Topic category
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- Environment
))
- Begin date
- 2015-04-01
- End date
- 2017-12-31
Distribution Information
- Data format
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-
NetCDF
(
4
)
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NetCDF
(
4
)
- Resource Locator
-
Download the data
Download a copy of this data
- Resource Locator
-
Supporting information
Supporting information available to assist in re-use of this dataset
- Resource Locator
-
Download the data
Download a copy of this data
- Resource Locator
-
Supporting information
Supporting information available to assist in re-use of this dataset
- Quality Scope
- dataset
- Other
- dataset
Report
- Dataset Reference Date ()
- 2010-12-08
- Statement
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A merged dataset blending two remote sensing (ASCAT and SMAP) and one modelled (JULES-CHESS land surface model) soil moisture datasets was produced under the NERC funded HydroJULES programme. The merging was done using Triple Collocation Analysis which minimises the errors from a statistical point of view, producing an improved product, continuous in time and space.
Evaluation using in-situ soil moisture measurements from the COSMOS-UK network shows that the merged soil moisture integrates the characteristics of model simulation and satellite observations and particularly improves the limited temporal variability of the JULES-CHESS simulation.
Soil moisture is of fundamental importance to many hydrological, biological biochemical and meteorological processes. Accurate information about soil moisture is therefore valuable to a wide range of stakeholders.
Despite this, widespread, continuous and reliable measurements of soil moisture are currently not widely available. Remote sensing satellite data provides regional soil moisture data, but the accuracy is variable and missing data frequent. Soil moisture models, on the other hand, provide continuous data both in time and space, but are indirect estimates based on numerical simulations rather than observations and do not always capture the temporal dynamic of drying and wetting accurately.
Metadata
- File identifier
- 26b8ddd4-09fd-4e40-a556-6a8f3a7481ea XML
- Metadata Language
- English (en)
- Character set
- ISO/IEC 8859-1 (also known as Latin 1)
- Resource type
- dataset
- Hierarchy level name
- dataset
- Metadata Date
- 2022-05-18T12:19:05
- Metadata standard name
- UK GEMINI
- Metadata standard version
- 2.3
